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Oracle AI Vector Search Professional - 1Z0-184-25 Exam Practice Test

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Total 62 questions

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Question 1

Which statement best describes the capability of Oracle Data Pump for handling vector data in thecontext of vector search applications?

A. Data Pump treats vector embeddings as regular text strings, which can lead to data corruption or loss of precision when transferring vector data for vector search B. Because of the complexity of vector data, Data Pump requires a specialized plug-in to handle the export and import operations involving vector data types C. Data Pump only exports and imports vector data if the vector embeddings are stored as BLOB (Binary Large Object) data types in the database D. Data Pump provides native support for exporting and importing tables containing vector data types, facilitating the transfer of vector data for vector search applications

Discussion 0

Correct Answer: D Vote an answer

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Question 2

What is the default distance metric used by the VECTOR_DISTANCE function if none is specified?

A. Manhattan B. Euclidean C. Hamming D. Cosine

Discussion 0

Correct Answer: D Vote an answer

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Question 3

Which PL/SQL package is primarily used for interacting with Generative AI services in Oracle Database 23ai?

A. DBMS_VECTOR_CHAIN B. DBMS_ML C. DBMS_AI D. DBMS_GENAI

Discussion 0

Correct Answer: C Vote an answer

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Question 4

When using SQL*Loader to load vector data for search applications, what is a critical consideration regarding the formatting of the vector data within the input CSV file?

A. Rely on SQL*Loader's automatic normalization of vector data B. As FVEC is a binary format and the vector dimensions have a known width, fixed offsets can be used to make parsing the vectors fast and efficient C. Enclose vector components in curly braces ({}) D. Use sparse format for vector data

Discussion 0

Correct Answer: C Vote an answer

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Question 5

Which PL/SQL function converts documents such as PDF, DOC, JSON, XML, or HTML to plain text?

A. DBMS_VECTOR_CHAIN.UTL_TO_TEXT B. DBMS_VECTOR.CONVERT_TO_TEXT C. DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS D. DBMS_VECTOR.TEXT_TO_PLAIN

Discussion 0

Correct Answer: A Vote an answer

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Question 6

An application needs to fetch the top-3 matching sentences from a dataset of books while ensuring a balance between speed and accuracy. Which query structure should you use?

A. Exact similarity search with Euclidean distance B. Approximate similarity search with the VECTOR_DISTANCE function C. A combination of relational filters and similarity search D. Multivector similarity search with approximate fetching and target accuracy

Discussion 0

Correct Answer: B Vote an answer

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Question 7

Which SQL function is used to create a vector embedding for a given text string in Oracle Database 23ai?

A. EMBED_TEXT B. VECTOR_EMBEDDING C. GENERATE_EMBEDDING D. CREATE_VECTOR_EMBEDDING

Discussion 0

Correct Answer: B Vote an answer

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Total 62 questions

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